Senior Design & Development Engineer (Hardware)

RedTech Recruitment Ltd
Saffron Walden
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Product Director - Digital Health

Senior ADAS Engineer

Senior Machine Learning Engineer - Canva UK

Senior Licensing & Tools Applications Engineer

Senior Machine Learning Engineer - Canva UK

Senior Design & Development Engineer (Hardware)An exciting opportunity for an experienced Hardware Design Engineer to join an innovative stealth start-up in Saffron Walden to work on exciting product development from prototype to production. This company are tackling some of the world’s most pressing challenges. Joining a company founded by experts in their field, who have already realised success with other start-ups, this offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech.Location: Saffron Walden, UK - fully on-site due to the nature of the roleSalary: Market competitiveRequirements for Senior Design & Development Engineer (Hardware) * Highly experienced in Product Development from prototype to Production * Proficiency in CAD Software * 1st class honours or high 2.1 degree from a top university in Engineering, Maths, Physics, Electronics or similar. * Strong problem-solving ability * Any exposure to RF, SDRs, or machine learning would be beneficial * You must be in a position to qualify for SC Clearance due to the nature of some customersResponsibilities for Senior Design & Development Engineer (Hardware) * Work closely with diverse teams to conceptualise, design, and develop innovative products. * Create and refine detailed designs using CAD tools to enhance prototypes. * Engage in hands-on prototype construction and testing, making iterative improvements based on results. * Tackle complex engineering problems with creative and practical solutions. * Enhance product performance, reliability, and overall design quality.What this offers: * An opportunity to join a success story in the making * Experience working on entire lifecycle * Great remunerationApplications:If you would like to enquire about this unique Hardware Design Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link.We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job-board, full contact details are readily available on our website).***********************************************************************************************RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities.We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Keywords– Senior Product Design Engineer / Lead Innovation Engineer / Product Development Specialist / Senior R&D Engineer / Prototyping and Design Lead / Product Engineering Manager / Senior Prototype Development Engineer / Design and Innovation Specialist / Senior Concept-to-Production Engineer / Lead Product Development Designer Start-up / Hardware Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.